Search Results for author:
Found 8 papers, 2 papers with code
Visual Causal Feature Learning
We provide a rigorous definition of the visual cause of a behavior that is broadly applicable to the visually driven behavior in humans, animals, neurons, robots and other perceiving systems.
Generalized Regressive Motion: a Visual Cue to Collision
Looming has been proposed as the main monocular visual cue for detecting the approach of other animals and avoiding collisions with stationary obstacles.
Multi-Level Cause-Effect Systems
We formalize the connection between micro- and macro-variables in such situations and provide a coherent framework describing causal relations at multiple levels of analysis.
Unsupervised Discovery of El Nino Using Causal Feature Learning on Microlevel Climate Data
We show that the climate phenomena of El Nino and La Nina arise naturally as states of macro-variables when our recent causal feature learning framework (Chalupka 2015, Chalupka 2016) is applied to micro-level measures of zonal wind (ZW) and sea surface temperatures (SST) taken over the equatorial band of the Pacific Ocean.
Estimating Causal Direction and Confounding of Two Discrete Variables
We propose a method to classify the causal relationship between two discrete variables given only the joint distribution of the variables, acknowledging that the method is subject to an inherent baseline error.
Causal Regularization
In application domains such as healthcare, we want accurate predictive models that are also causally interpretable.
Fast Conditional Independence Test for Vector Variables with Large Sample Sizes
The test is based on the idea that when $P(X \mid Y, Z) = P(X \mid Y)$, $Z$ is not useful as a feature to predict $X$, as long as $Y$ is also a regressor.
Rethinking Zero-shot Video Classification: End-to-end Training for Realistic Applications
Our training procedure builds on insights from recent video classification literature and uses a trainable 3D CNN to learn the visual features.
Ranked #4 on
Zero-Shot Action Recognition
on ActivityNet
